Shivangi Srivastava

Papers

Total Citations

H-Index

About

Shivangi Srivastava is a researcher whose work lies at the intersection of computational intelligence and autonomous systems, with a primary focus on mobile robotics and fuzzy logic control. Her most impactful contribution, the 2020 paper "A New T-S Model Based Fuzzy Logic Approach For Mobile Robots Path Planning," has garnered 10 citations and addresses a critical challenge in robotics: enabling autonomous navigation through unstructured environments. In this work, Srivastava introduces a novel Takagi-Sugeno (T-S) type fuzzy inference system that employs a grid partition technique, allowing mobile robots to process sensor data and plan paths more effectively in real-time. This approach represents a significant step forward in making robots more adaptable and intelligent when exploring unknown terrains. By integrating fuzzy logic with robotic path planning, Srivastava has contributed to the broader field of soft computing applications in engineering, offering solutions that are both computationally efficient and robust to uncertainty. Her research is particularly valuable for students and engineers working on autonomous navigation systems, as it provides a practical framework for improving robot decision-making in complex, real-world scenarios.